9781118324561

Probability and Stochastic Processes

by ;
  • ISBN13:

    9781118324561

  • ISBN10:

    1118324560

  • Edition: 3rd
  • Format: Paperback
  • Copyright: 1/28/2014
  • Publisher: John Wiley & Sons Inc

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping On Orders Over $59!
    Your order must be $59 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • Get Rewarded for Ordering Your Textbooks! Enroll Now
  • We Buy This Book Back!
    In-Store Credit: $75.26
    Check/Direct Deposit: $71.68
List Price: $210.20 Save up to $153.94
  • Rent Book $84.08
    Add to Cart Free Shipping

    TERM
    PRICE
    DUE

Supplemental Materials

What is included with this book?

  • The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.
  • The Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Summary

This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester. 

Table of Contents

Chapter 1. Experiments, Models, and Probabilities

Chapter 2. Sequential Experiments

Chapter 3. Discrete Random Variables

Chapter 4. Continuous Random Variables

Chapter 5. Multiple Random Vectors

Chapter 6. Probability Models of Derived Random Variables

Chapter 7. Conditional Probability Models

Chapter 8. Random Vectors

Chapter 9. Sums of Random Variables

Chapter 10. The Sample Mean 

Chapter 11. Hypothesis Testing

Chapter 12. Estimation of a Random Variable

Chapter 13. Stochastic Processes

Rewards Program

Write a Review